Crossing Hurdles is a global recruitment firm that partners with
US-based companies
to help them hire high-quality talent across technology and business functions. We work closely with fast-growing teams to identify professionals who can deliver impact in complex, high-ownership roles.
Location:
Richardson, TX / Remote
Employment Type:
Contract
Seniority:
Mid-Senior to Senior
Experience:
8+ years overall (2–3+ years in GenAI/AI systems)
About the Role
As a
Generative AI Engineer
, you will be a core member of a high-impact engineering pod, responsible for building and integrating
agentic AI systems
powered by advanced
LLM and Generative AI technologies
. You will collaborate closely with Tech Leads and Full Stack Engineers to convert AI capabilities into
production-ready, enterprise-grade solutions
.
What You’ll Be Working On
- Designing, developing, and deploying agentic AI systems using modern LLM frameworks
- Integrating Generative AI models into full-stack applications and internal workflows
- Collaborating on prompt engineering, model fine-tuning, and evaluation
- Building reusable components for multi-agent orchestration and task automation
- Optimizing AI inference pipelines for scalability, latency, and cost efficiency
- Participating in architectural discussions and contributing to the **technical roadmap
Must-Have Experience**
- 8+ years of software engineering experience
- 2–3+ years of hands-on experience with AI/ML or Generative AI systems in production
- Strong experience using Python for AI/ML integration
- Hands-on with LangChain and LlamaIndex
- Experience with agentic frameworks such as LangGraph or Google ADK
- Understanding of Git, CI/CD, DevOps , and production-grade AI deployment
- Familiarity with Google Cloud Platform (Vertex AI, Cloud Run, GKE)
Nice to Have
- Experience with embeddings, vector databases, and AI APIs
- Fine-tuning open-source LLMs (LLaMA, Mistral) or working with OpenAI APIs
- Exposure to multimodal AI systems (text, image, voice)
- Familiarity with low-code/no-code workflow tools
Why This Role
- Work on real-world, production AI systems
- High ownership and hands-on technical impact
- Opportunity to build and scale enterprise-grade GenAI solutions
- Collaborate with senior engineers on complex AI problems